Central nervous system vasculitis in children
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: To review the current literature of childhood primary and secondary central nervous system (CNS) vasculitis and to evaluate the growing differential diagnosis of inflammatory and noninflammatory brain diseases. RECENT FINDINGS: Primary angiitis of the central nervous system in children (cPACNS) is a reversible cause of severe neurological deficits and/or psychiatric symptoms. This disease is classified into subtypes based on distinct clinical and radiological features, treatment strategies, and disease trajectories. Also, the increased diagnostic yield from elective brain biopsies in children has improved our ability to diagnose angiography-negative cPACNS. Over the past few years, the differential diagnosis for cPACNS has rapidly expanded due to the characterization of novel inflammatory and noninflammatory brain diseases. Specifically, vasoconstrictive disorders and neuronal antibody-associated conditions have now been described in children and have overlapping clinical features with cPACNS. SUMMARY: This review summarizes the recent data on diagnosis, treatment, and prognosis of cPACNS. It also addresses the evolving differential diagnosis for CNS vasculitis. Our improved understanding of these disorders allows a tailored diagnostic approach leading to rapid diagnosis and initiation of therapy in these potentially reversible conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it